Direct-Manipulation Visualization of Deep Networks

August 12, 2017 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viรฉgas, Martin Wattenberg arXiv ID 1708.03788 Category cs.LG: Machine Learning Cross-listed cs.HC, stat.ML Citations 143 Venue arXiv.org Last Checked 4 months ago
Abstract
The recent successes of deep learning have led to a wave of interest from non-experts. Gaining an understanding of this technology, however, is difficult. While the theory is important, it is also helpful for novices to develop an intuitive feel for the effect of different hyperparameters and structural variations. We describe TensorFlow Playground, an interactive, open sourced visualization that allows users to experiment via direct manipulation rather than coding, enabling them to quickly build an intuition about neural nets.
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